Objective
Artificial neural networks have been shown to offer a powerful computing approach to encounter many classification problems as in synthetic vision (e.g. autonomous driving) and artificial intelligence (e.g. AlphaGo). While their implementations are often based on power-hungy CPU- and GPU-installations, first researchers have delivered initial application-specific solutions that demonstrate FPGAs to be a feasible and efficient alternative. This proposal aims at providing a generic reference implementation of ANNs on FPGAs that is tunable towards various application needs by parametrization. Since individual FPGA designs establish enormous costs of entry due to a higher engineering effort on a lower abstration level, an IP core that is available out of the box is a great R&D incentive that enables more researchers and engineers to embrace the emerging efficient heterogeneous computing more quickly and produce innovations and more compact and more efficient products on this basis. Besides this technological advance, this proposal enables a researcher with an enormous experience in mapping computations into FPGA hardware to make a valuable industrial experience in an international context with the major company in this domain. His expertise is ideally complemented with the application experience available at Xilinx who will benefit from opening a new growing market for manufactured FPGA devices. The development of the researcher's skill set is explictly addressed by complementing his academic background with industrial experience and scheduled cooperate trainings. As part of the dissemination activities, his network into the FPGA community is strengthened and approaches towards the ANN community are made.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences chemical sciences inorganic chemistry noble gases
- natural sciences mathematics pure mathematics topology
- natural sciences mathematics pure mathematics arithmetics
- natural sciences computer and information sciences artificial intelligence computer vision object detection
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-SE - Society and Enterprise panel
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
D24T683 Dublin
Ireland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.